Xuewen Hou

Publications by Year

Research Areas

Radiomics and Machine Learning in Medical Imaging, Advanced MRI Techniques and Applications, Lung Cancer Diagnosis and Treatment, Spectroscopy and Chemometric Analyses, AI in cancer detection

Most-Cited Works

• → Rapid identification of edible oil species using supervised support vector machine based on low-field nuclear magnetic resonance relaxation features(2018)54 cited
• → Prediction of breast cancer molecular subtypes using DCE-MRI based on CNNs combined with ensemble learning(2021)47 cited
• → Convolutional neural network based approach for classification of edible oils using low-field nuclear magnetic resonance(2020)39 cited
• → A Rapid Screening Approach for Authentication of Olive Oil and Classification of Binary Blends of Olive Oils Using Low-Field Nuclear Magnetic Resonance Spectra and Support Vector Machine(2020)37 cited
• → Rapid screening for hazelnut oil and high‐oleic sunflower oil in extra virgin olive oil using low‐field nuclear magnetic resonance relaxometry and machine learning(2020)34 cited
• → Transfer Learning Strategy Based on Unsupervised Learning and Ensemble Learning for Breast Cancer Molecular Subtype Prediction Using Dynamic Contrast‐Enhanced MRI(2021)30 cited
• → A deep learning‐ and CT image‐based prognostic model for the prediction of survival in non‐small cell lung cancer(2021)21 cited
• → A Novel Deep Learning Model Based on Multi-Scale and Multi-View for Detection of Pulmonary Nodules(2022)17 cited
• → Peptidome analysis of cerebrospinal fluid in neonates with hypoxic-ischemic brain damage(2020)17 cited
• → The influence of white matter hyperintensities severity on functional brain activity in cerebral small vessel disease: An rs-fMRI study(2022)8 cited